Search Images Maps Play YouTube News Gmail Drive More »
Sign in
Screen reader users: click this link for accessible mode. Accessible mode has the same essential features but works better with your reader.

Patents

  1. Advanced Patent Search
Publication numberUS8145489 B2
Publication typeGrant
Application numberUS 12/847,564
Publication dateMar 27, 2012
Filing dateJul 30, 2010
Priority dateFeb 6, 2007
Fee statusPaid
Also published asCN101689267A, EP2109849A1, EP2109849A4, US7818176, US8527274, US8886536, US20080189110, US20100299142, US20120150636, US20140012577, US20150066627, US20150364133, WO2008098039A1
Publication number12847564, 847564, US 8145489 B2, US 8145489B2, US-B2-8145489, US8145489 B2, US8145489B2
InventorsTom Freeman, Mike Kennewick
Original AssigneeVoicebox Technologies, Inc.
Export CitationBiBTeX, EndNote, RefMan
External Links: USPTO, USPTO Assignment, Espacenet
System and method for selecting and presenting advertisements based on natural language processing of voice-based input
US 8145489 B2
Abstract
A system and method for selecting and presenting advertisements based on natural language processing of voice-based inputs is provided. A user utterance may be received at an input device, and a conversational, natural language processor may identify a request from the utterance. At least one advertisement may be selected and presented to the user based on the identified request. The advertisement may be presented as a natural language response, thereby creating a conversational feel to the presentation of advertisements. The request and the user's subsequent interaction with the advertisement may be tracked to build user statistical profiles, thus enhancing subsequent selection and presentation of advertisements.
Images(4)
Previous page
Next page
Claims(18)
1. A method for selecting and presenting advertisements in response to processing natural language utterances, comprising:
recognizing, at a server, one or more words or phrases in a natural language utterance that contains a request, wherein the server includes a speech recognition engine that recognizes the one or more words or phrases in the natural language utterance;
interpreting the recognized words or phrases at a conversational language processor coupled to the server and the speech recognition engine to establish a context associated with the natural language utterance;
delivering an advertisement in the established context associated with the natural language utterance from the server to an electronic device in communication with the server, wherein the advertisement relates to one or more of the recognized words or phrases, an action associated with the request, a personalized cognitive model derived from an interaction pattern associated with a specific user, a generalized cognitive model derived from an interaction pattern associated with a plurality of users, or an environmental model derived from environmental conditions or surroundings associated with the specific user;
tracking, at the server, an interaction pattern associated with the advertisement delivered to the electronic device;
updating, at the server, the personalized cognitive model, the generalized cognitive model, and the environmental model based on the tracked interaction pattern associated with the advertisement;
building, at the server, long-term shared knowledge and short-term shared knowledge from the updated personalized cognitive model, the updated generalized cognitive model, and the updated environmental model; and
interpreting a subsequent natural language utterance at the conversational language processor using the long-term shared knowledge and the short-term shared knowledge.
2. The method of claim 1, wherein the updated personalized cognitive model, the updated generalized cognitive model, and the updated environmental model provide statistical profiles to select one or more subsequent advertisements in response to the subsequent natural language utterance.
3. The method of claim 2, wherein the statistical profiles identify one or more affinities between the advertisement delivered to the electronic device and one or more of the recognized words or phrases, the action associated with the request, the updated personalized cognitive model, the updated generalized cognitive model, or the updated environmental model.
4. The method of claim 1, wherein the tracked interaction pattern associated with the advertisement includes information associated with a subsequent request in which the electronic device interacts with the advertisement.
5. The method of claim 4, wherein the subsequent request in which the electronic device interacts with the advertisement includes the electronic device initiating a task or initiating a query relating to the advertisement.
6. The method of claim 1 further comprising using, at the conversational language processor, the tracked interaction pattern associated with the advertisement to resolve the request in response to determining that the natural language utterance includes incomplete or ambiguous information.
7. The method of claim 1, wherein the speech recognition engine recognizes the one or more words or phrases in the natural language utterance using a plurality of dictionary and phrase entries that are dynamically updated based on a history of a current dialog and one or more prior dialogs.
8. The method of claim 7, wherein the plurality of dictionary and phrase entries are further dynamically updated based on one or more dynamic fuzzy set probabilities or prior probabilities derived from the history of the current dialog and the prior dialogs.
9. A system to select and present advertisements in response to natural language utterances, comprising:
a speech recognition engine configured to recognize one or more words or phrases in a natural language utterance that contains a request;
a conversational language processor configured to interpret the recognized words or phrases to establish a context associated with the natural language utterance; and
a server associated with the speech recognition engine and the conversational language processor, wherein the server is configured to:
deliver an advertisement in the established context associated with the natural language utterance to an electronic device in communication with the server, wherein the advertisement relates to one or more of the recognized words or phrases, an action associated with the request contained in the utterance, a personalized cognitive model derived from an interaction pattern associated with a specific user, a generalized cognitive model derived from an interaction pattern associated with a plurality of users, or an environmental model derived from environmental conditions or surroundings associated with the specific user;
track an interaction pattern associated with the advertisement delivered to the electronic device;
update the personalized cognitive model, the generalized cognitive model, and the environmental model based on the tracked interaction pattern associated with the advertisement; and
build long-term shared knowledge and, short-term shared knowledge from the updated personalized cognitive model, the updated generalized cognitive model, and the updated environmental model, wherein the conversational language processor is further configured to use the long-term shared knowledge and the short-term shared knowledge to interpret a subsequent natural language utterance.
10. The system of claim 9, wherein the updated personalized cognitive model, the updated generalized cognitive model, and the updated environmental model provide statistical profiles to select one or more subsequent advertisements in response to the subsequent natural language utterance.
11. The system of claim 10, wherein the statistical profiles identify one or more affinities between the advertisement delivered to the electronic device and one or more of the recognized words or phrases, the action associated with the request, the updated personalized cognitive model, the updated generalized cognitive model, or the updated environmental model.
12. The system of claim 9, wherein the tracked interaction pattern associated with the advertisement includes information associated with a subsequent request in which the electronic device interacts with the advertisement.
13. The system of claim 12, wherein the subsequent request in which the electronic device interacts with the advertisement includes a task that the electronic device initiated or a query that the electronic device initiated in relation to the advertisement.
14. The system of claim 9 wherein the conversational language processor is further configured to use the tracked interaction pattern associated with the advertisement to resolve the request in response to the natural language utterance including incomplete or ambiguous information.
15. The system of claim 9 wherein the speech recognition engine is configured to use a plurality of dictionary and phrase entries that are dynamically updated based on a history of a current dialog and one or more prior dialogs to recognize the one or more words or phrases in the natural language utterance.
16. The system of claim 15 wherein the plurality of dictionary and phrase entries are further dynamically updated based on one or more dynamic fuzzy set probabilities or prior probabilities derived from the history of the current dialog and the prior dialogs.
17. A method for selecting and presenting advertisements in response to processing natural language utterances, comprising:
recognizing, at a speech recognition engine that executes on a server, one or more words or phrases in a natural language utterance;
interpreting the one or more recognized words or phrases at a conversational language processor that executes on the server to establish a context associated with the natural language utterance;
delivering an advertisement in the established context associated with the natural language utterance from the server to an electronic device in communication with the server;
tracking, at the server, an interaction pattern associated with the advertisement delivered to the electronic device;
updating, at the server, one or more models based on the tracked interaction pattern associated with the advertisement, wherein the one or more updated models include updated information associated with a specific user, updated information associated with a plurality of users, and updated information relating to environmental conditions or surroundings associated with the specific user; and
interpreting a subsequent natural language utterance at the conversational language processor using long-term shared knowledge and short-term shared knowledge derived from the updated information associated with the one or more updated models.
18. A system to select and present advertisements in response to natural language utterances, comprising:
a speech recognition engine configured to recognize one or more words or phrases in a natural language utterance;
a conversational language processor configured to interpret the one or more recognized words or phrases to establish a context associated with the natural language utterance; and
a server associated with the speech recognition engine and the conversational language processor, wherein the server is configured to:
deliver an advertisement in the established context associated with the natural language utterance to an electronic device in communication with the server;
track an interaction pattern associated with the advertisement delivered to the electronic device; and
update, based on the tracked interaction pattern associated with the advertisement, one or more models to include updated information associated with a specific user, updated information associated with a plurality of users, and updated information relating to environmental conditions or surroundings associated with the specific user, wherein the conversational language processor is further configured to use long-term shared knowledge and short-term shared knowledge derived from the updated information associated with the one or more updated models to interpret a subsequent natural language utterance.
Description
CROSS-REFERENCE TO RELATED APPLICATIONS

This application is a continuation of U.S. patent application Ser. No. 11/671,526, entitled “System and Method for Selecting and Presenting Advertisements Based on Natural Language Processing of Voice-Based Input,” filed Feb. 6, 2007, which issued as U.S. Pat. No. 7,818,176 on Oct. 19, 2010, the contents of which are hereby incorporated by reference in their entirety.

FIELD OF THE INVENTION

The present invention relates to selecting and presenting advertisements based on natural language processing of voice-based input.

BACKGROUND OF THE INVENTION

As technology advances, consumer electronics devices tend to play larger roles due to increased functionality and mobility. For example, mobile phones, navigation devices, embedded devices, and other such devices provide a wealth of functionality beyond core applications. However, increased functionality adds difficulty to the learning curve associated with using electronic devices, and increased mobility intensifies the demand for simple mechanisms to interact with devices on the go. For example, existing systems tend to have complex human to machine interfaces, which may inhibit mass-market adoption for various technologies. For example, when a user wishes to perform a relatively simple task on a mobile phone, such as purchasing a ring tone, the user often is forced to navigate through a series of menus and press a series of buttons. In some instances, this may result in the transaction not necessarily occurring, as the user may prefer to avoid the hassles altogether. As such, there is ever-growing demand for ways to exploit technology in intuitive ways.

Voice recognition software may enable a user to exploit applications and features of a device that may otherwise be unfamiliar, unknown, or difficult to use. However, many existing voice user interfaces (when they actually work) still require significant learning on the part of the user. For example, users often cannot directly issue a request for a system to retrieve information or perform an action without having to memorize specific syntaxes, words, phrases, concepts, semantic indicators, or other keywords/qualifiers. Similarly, when users are uncertain of particular needs, many existing systems do not engage the user in a productive, cooperative dialogue to resolve requests and advance a conversation. Instead, many existing speech interfaces force users to use a fixed set commands or keywords to communicate requests in ways that systems can understand. Using existing voice user interfaces, there is virtually no option for dialogue between the user and the system to satisfy mutual goals.

The lack of adequate voice user interfaces results in missed opportunities for providing valuable and relevant information to users. Not only does this potentially leave user requests unresolved, in certain instances, providers of goods and services may lose out on potential business. In an increasingly global marketplace, where marketers are continually looking for new and effective ways to reach consumers, the problems with existing voice user interfaces leaves a large segment of consumer demand unfulfilled. Furthermore, existing techniques for marketing, advertising, or otherwise calling consumers to action fail to effectively utilize voice-based information, which is one of the most natural, intuitive methods of human interaction.

Existing systems suffer from these and other problems.

SUMMARY OF THE INVENTION

According to various aspects of the invention, a system and method for selecting and presenting advertisements based on natural language processing of voice-based inputs is provided. A natural language voice-based input may be received by a voice user interface. The voice-based input may include a user utterance, and a request may be identified from the utterance. Appropriate action may be taken to service the request, while one or more advertisements may be selected and presented to the user. Advertisements may be selected based on various criteria, including content of the input (e.g., concepts, semantic indicators, etc.), an activity related to the input (e.g., a relation to a request, a requested application, etc.), user profiles (e.g., demographics, preferences, location, etc.), or in other ways. A user may subsequently interact with the advertisement (e.g., via a voice-based input), and action may be taken in response to the interaction. Furthermore, the interaction may be tracked to build statistical profiles of user behavior based on affinities or clusters among advertisements, user profiles, contexts, topics, semantic indicators, concepts, or other criteria.

According to various aspects of the invention, advertisers may create advertisements, which may be stored in an advertisement repository. For example, advertisements may include sponsored messages, calls to action, purchase opportunities, trial downloads, or any other marketing communication, as would be apparent to those skilled in the art. Advertisers may specify various parameters to associate with the advertisements, such as various contexts or topic concepts (e.g., semantic indicators for a “music” concept may include words such as “music,” “tunes,” “songs,” etc.), target demographics (e.g., a preferred audience), marketing criteria or prices for insertion (e.g., dynamic or static pricing based on various marketing criteria), or other information, as would be apparent. The advertisement repository may be associated with a server, where in response to a voice-based input from a user (e.g., at a voice-enabled device), a communications link may be established with the server. Information may be extracted from the voice-based input (e.g., words in the input, applications requested by the input, etc.), and the extracted information may be correlated with user profiles, advertisement parameters, or other information to determine which advertisements to select in relation to the voice-based input. The server may subsequently communicate the selected advertisements to the user, and the server may track the user's subsequent interaction with the selected advertisements.

Other objects and advantages of the invention will be apparent based on the following drawings and detailed description.

BRIEF DESCRIPTION OF THE DRAWINGS

FIG. 1 illustrates a block diagram of an exemplary system for implementing a voice user interface according to various aspects of the invention.

FIG. 2 illustrates a block diagram of an exemplary advertising system according to various aspects of the invention.

FIG. 3 illustrates a flow diagram of an exemplary method for selecting and presenting advertisements based on voice-based inputs according to various aspects of the invention.

DETAILED DESCRIPTION

Referring to FIG. 1, an exemplary system 100 for implementing a voice user interface is illustrated according to various aspects of the invention. System 100 may enable users to perform various tasks on a voice-enabled device. For example, users may control navigation devices, media devices, personal computers, personal digital assistants, or any other device supporting voice-based inputs. System 100 may enable users to request voice-enabled devices to retrieve information or perform various tasks, among other things, using natural language voice-based inputs. For example, system 100 may interpret natural language voice-based inputs and generate responses using, among other things, techniques described in U.S. patent application Ser. No. 10/452,147, entitled “Systems and Methods for Responding to Natural Language Speech Utterance,” filed Jun. 3, 2003, which issued as U.S. Pat. No. 7,398,209 on Jul. 8, 2008, and U.S. patent application Ser. No. 10/618,633, entitled “Mobile Systems and Methods for Responding to Natural Language Speech Utterance,” filed Jun. 15, 2003, which issued as U.S. Pat. No. 7,693,720 on Apr. 6, 2010, both of which are hereby incorporated by reference in their entirety. For example, as described in U.S. patent application Ser. No. 10/452,147, the system 100 may include a speech recognition engine (e.g., an Automatic Speech Recognizer 110) that may recognize words and phrases in an utterance using entries in one or more dictionary and phrase tables. In addition, as further described therein, fuzzy set possibilities or prior probabilities for the words in the dictionary and phrase tables may be dynamically updated to maximize the probability of correct recognition at each stage of the dialog (e.g., the probabilities or possibilities may be dynamically updated based on application domains, questions or commands, contexts, user profiles and preferences, user dialog histories, recognizer dictionary and phrase tables, word spellings, and/or other criteria).

According to various aspects of the invention, system 100 may receive a user input, including at least a voice-based user utterance, at an input device 105. Input device 105 may include any suitable device, or combination of devices, for receiving a voice-based input (e.g., a microphone). In various implementations, input device 105 may include a multi-modal input, such as a touch-screen interface, keypad, or other input. The received utterance may be processed by the Automatic Speech Recognizer 110. Automatic Speech Recognizer 110 may generate one or more preliminary interpretations of the utterance using various techniques. For example, Automatic Speech Recognizer 110 may interpret the utterance using techniques of phonetic dictation to recognize a stream of phonemes. Further, Automatic Speech Recognizer 110 may perform post-processing to enhance the preliminary interpretations. For example, Automatic Speech Recognizer 110 may vary interpretations of an utterance, or components of an utterance, from one context to another. Other techniques for enhancing an interpretation of a user utterance may be used, such as those described in U.S. patent application Ser. No. 11/513,269, entitled “Dynamic Speech Sharpening,” filed Aug. 31, 2006, which issued as U.S. Pat. No. 7,634,409 on Dec. 15, 2009, and which is hereby incorporated by reference in its entirety.

The one or more preliminary interpretations may be provided to a conversational language processor 120. Conversational language processor 120 may include a voice search engine 125, a context determination module 130, and one or more agents 135, among other things, to enable cooperative, conversational interaction between the user and system 100. Conversational language processor 120 may be communicatively coupled to one or more data repositories 140 and one or more applications 150. Conversational language processor 120 may generate a domain-specific conversational response, which may be returned to the user as an output 180. Output 180 may include a multi-modal output (e.g., by simultaneously returning a voice-based response and displaying information on a display device).

System 100 may further include an interaction with one or more applications 150 to service one or more requests in the utterance. For example, the utterance may include one or more requests for performing an action, retrieving information, or various combinations thereof. Output 180 may include a conversational response to advance a conversation to service requests by invoking one or more applications 150, as appropriate. For example, applications 150 may include a navigation application 155, an advertising application 160, a music application, an electronic commerce application 170, and/or other applications 175. Furthermore, Automatic Speech Recognizer 110, conversational language processor 120, data repositories 140, and/or applications 150 may reside locally (e.g., on a user device), remotely (e.g., on a server), and/or hybrid local/remote processing models may be used (e.g., lightweight applications may be processed locally while computationally intensive applications may be processed remotely).

Conversational language processor 120 may build long-term and/or short-term shared knowledge in one or more knowledge source. For example, shared knowledge sources may include information about previous utterances, requests, and other user interactions to inform generating an appropriate response to a current utterance. The shared knowledge may include public/non-private (i.e., environmental) knowledge, as well as personal/private (i.e., historical) knowledge. For example, conversational language processor 120 may use context determination module 130 to establish a context for a current utterance by having domain agents 135 competitively generate a context-based interpretation of the utterance (e.g., by scoring possible interpretations and selecting a highest scoring interpretation). As such, agents 135 may model various domains (e.g., navigation, music, a specific user, global users, advertising, e-commerce, etc.), and conversational language processor 120 may interpret and/or respond to a voice-based input accordingly. For example, context-based interpretations and responses to a voice-based input may be generated using techniques described in U.S. patent application Ser. No. 11/197,504, entitled “Systems and Methods for Responding to Natural Language Speech Utterance,” filed Aug. 5, 2005, which issued as U.S. Pat. No. 7,640,160 on Dec. 29, 2009, and U.S. patent application Ser. No. 11/212,693, entitled “Mobile Systems and Methods of Supporting Natural Language Human-Machine Interactions,” filed Aug. 29, 2005, which issued as U.S. Pat. No. 7,949,529 on May 24, 2011, both of which are hereby incorporated by reference in their entirety.

Furthermore, conversational language processor 120 may support adaptive misrecognition to reinterpret a current utterance and/or one or more previous utterances. For example, information contained in a current utterance may indicate that interpretations for one or more previous utterances were incorrect, and therefore, the previous utterances may be reinterpreted to improve subsequent interpretations. Accordingly, conversational language processor 120 may use the techniques described herein, along with various other techniques, to interpret and respond to conversational, natural language utterances. Conversational language processor 120 may use various other techniques as will be apparent, such as those described in U.S. patent application Ser. No. 11/200,164, entitled “System and Method of Supporting Adaptive Misrecognition in Conversational Speech,” filed Aug. 10, 2005, which issued as U.S. Pat. No. 7,620,549 on Nov. 17, 2009, and U.S. patent application Ser. No. 11/580,926, entitled “System and Method for a Cooperative Conversational Voice User Interface,” filed Oct. 16, 2006, both of which are hereby incorporated by reference in their entirety. For example, as described in U.S. patent application Ser. No. 11/200,164, an environmental model may be accessed to determine user location, user activity, track user actions, and/or other environmental information to invoke context, domain knowledge, preferences, and/or other cognitive qualities to enhance the interpretation of questions and/or commands. In addition, as further described therein, based on information received from a general cognitive model, the environmental model, and/or a personalized cognitive model, which provide statistical abstracts of user interaction patterns, the system 100 may enhance responses to commands and questions by including a prediction of user behavior.

Referring to FIG. 2, an exemplary advertising system 200 is illustrated according to various aspects of the invention. System 200 may include a server 230 for receiving one or more advertisements from an advertiser 220, wherein the advertisements may be stored in a data repository 260 associated with server 230. For example, advertisements may include sponsored messages or marketing communications, calls to action, purchase opportunities, trial downloads, coupons, or any other suitable marketing, advertising, campaign, or other information, as would be apparent to those skilled in the art. A voice-enabled device 210 may receive a voice-based input and establish communications with advertising server 230. Subsequently, advertising server 230 may select one or more advertisements from among the advertisements stored in data repository 260, and the selected advertisements may be provided to the voice-enabled device for presentation to a user.

Advertiser 220 may access advertising server 230 via an advertiser interface 245. Advertisers 220 may upload targeted advertisements to server 230 via advertiser interface 245, and server 230 may store the advertisements in data repository 260. The advertisements may include graphically-based advertisements that include banners, images, audio, video, or any suitable combination thereof. Furthermore, the advertisements may include interactive or embedded information, such as links, metadata, or computer-executable instructions, or any suitable combination thereof. Advertisers may specify criteria for a campaign or targeting information for an advertisement (e.g., a start date, an end date, budget information, geo-targeting information, conceptual or contextual information, or any other suitable criteria), which may be used to facilitate selecting an advertisement in relation to a particular voice-based input.

In addition to providing interface 245 for advertisers, server 230 may include a content/action identification module 235, a user profile module 240, an advertisement selection module 250, and a tracking module 255. Users may submit voice-based requests to voice-enabled device 210, and voice-enabled device 210 may communicate information about the voice-based input to server 230. Server 230 may invoke advertisement selection module 250 to extract relevant information from about the voice-based input, where advertisement selection module 250 may select one or more advertisements relevant to the voice-based input based on information extracted using content/action identification module 235 and/or user profile module 240.

For example, content/action identification module 235 may identify content of the voice-based input (e.g., words in the input), requested information (e.g., search results, a web page, music, video, graphics, or other information), requested actions (e.g., calculating a navigation route, placing a telephone call, playing a song, etc.), a category or topic related to the input (e.g., music, business, stocks, sports, navigation, movies, etc.), or other criteria to use in selecting an advertisement. Further, user profile module 240 may identify characteristics of a specific user (e.g., demographics, personal preferences, location-based information, etc.), global user profiles (e.g., demographic profiles, click-through rates, etc.), or other criteria to use in selecting an advertisement. Moreover, advertisement selection module 250 may account for where a request originates from. For example, advertisements may be selected based on a default user location (e.g., identified from a user profile), current geolocation information (e.g., identified from a navigation device), whether an affiliate or partner of server 230 initiated the request, or other criteria.

For instance, a user may request airline reservations via voice-enabled device 210, and content/action identification module 235 may identify specific words used in the request, a category related to the request (e.g., travel, airlines, hotels, etc.), or other information. Furthermore, user profile module 240 may identify relevant characteristics of the user (e.g., user-specific demographics, location information, preferred airlines or hotels, etc.), as well as global user characteristics (e.g., most popular airlines). In various implementations, advertisements may be selected by assigning a score to each advertisement (e.g., based on click-through rates, relevance metrics, target audiences, etc.). As such, advertisement selection module 250 may correlate the information about the request to select advertisements stored in data repository 260, and server 230 may communicate the selected advertisements to voice-enabled device 210. Furthermore, selected advertisements may be presented according to a predetermined ordering or ranking (e.g., based on a ranking of relevance to an advertisement).

In various implementations, advertisement selection module 250 may retrieve a predetermined number of advertisements for any given request. Furthermore, the selected advertisements may depend upon a presentation format. For example, advertisements may be selected based on an amount of available space on a display of voice-enabled device 210 and/or a size/shape of the selected advertisements. In another example, voice-based advertisements may be selected and presented to the user audibly (e.g., a “hands-free” advertisement may be preferred when voice-enabled device 210 is a telematics device).

Furthermore, the user's subsequent interaction with an advertisement may be tracked using tracking module 255. For example, tracking module 255 may determine whether a conversion or click-through occurs for each advertisement presented to users. Further, tracking module 255 may maintain accounting and/or billing information associated with advertisers 220. For example, advertisers 220 may specify a maximum insertion cost, a cost-per-click-through, an average insertion cost, or other criteria specifying a budget constraint for an advertisement. As such, tracking module 255 may track which advertisements are selected and/or presented, which advertisements result in a conversion or click-through, whether a click-through or conversion results in a transaction or sale, associations between advertisements and users, requests, concepts, semantic indicators, and/or other criteria. For example, tracking user interaction with advertisements may be used to build user-specific and/or global statistical profiles that map or cluster advertisements to topics, semantic indicators, contexts, concepts, etc. based on user behavior, demographics, targeting constraints, content of advertisements, content of requests, actions associated with requests, or other statistically relevant information. Accordingly, the tracking information may be used to bill or invoice advertisers 220, as well as to improve subsequent performance and relevance of advertisements selected using advertisement selection module 250. Other techniques and features of selecting and presenting advertisements based on voice-based inputs may suitably be employed, as would be apparent.

Referring to FIG. 3, an exemplary method for selecting and presenting advertisements based on a voice-based input is illustrated according to various aspects of the invention. The method may begin in an operation 305, where a voice-based input, including at least a user utterance, may be received at a voice user interface. The voice user interface may include any suitable mechanism for receiving the utterance (e.g., a microphone), and may interface with any suitable voice-enabled device, as would be apparent, including personal navigation devices, personal digital assistants, media devices, telematics devices, personal computers, mobile phones, or others.

Subsequently, one or more requests included in the voice-based input may be identified in an operation 310. For example, the requests may include requests to retrieve information, perform tasks, explore or gather information, or otherwise interact with a system or device. For example, a voice-based input to a navigation device may include a request to calculate a route or retrieve location-based information. In another example, a voice-based input to a mobile phone may include a request to place a telephone call, purchase a ringtone, or record a voice-memo. Furthermore, in various implementations, voice-based inputs may include multiple requests, multi-modal requests, cross-device requests, cross-application requests, or other types of requests. For example, an utterance received in operation 305 may be: “Get me a route to Chang's Restaurant, and call them so I can make a reservation.” The utterance may thus include multiple requests, including cross-device requests (e.g., calculate a route using a navigation device, and make a telephone call using a mobile phone), as well as cross-application requests (e.g., search for an address and/or phone number using a voice search engine, and calculate a route using a navigation application).

The requests may be part of a conversational interaction between a user and a system or device, whereby an interpretation of requests in a current utterance may be based upon previous utterances in a current conversation, utterances in previous conversations, context-based information, local and/or global user profiles, or other information. For example, a previous request may be reinterpreted based on information included in subsequent requests, a current request may be interpreted based on information included in previous requests, etc. Furthermore, the conversational interaction may take various forms, including query-based conversations, didactic conversations, exploratory conversations, or other types of conversations. For example, the conversational language processor may identify a type of conversation, and information may be extracted from the utterance accordingly to identify the one or more requests in operation 310. Moreover, the conversational language processor may determine whether any of the requests are incomplete or ambiguous, and action may be taken accordingly (e.g., a system response may prompt a user to clarify an incomplete and/or ambiguous request). The conversational language processor may therefore use various techniques to identify a conversation type, interpret utterances, identify requests, or perform other tasks, such as those described in the aforementioned U.S. Patent Applications and U.S. Patents, which are hereby incorporated by reference in their entirety.

Upon identifying the one or more requests, action may be taken based on the identified requests in an operation 315, while one or more advertisements may be selected in an operation 320 (described in greater detail below). For example, one or more context-appropriate applications may be invoked to service the requests in operation 315 (e.g., a voice search engine, a navigation application, an electronic commerce application, or other application may be invoked depending upon the request). Furthermore, in operation 320, information may be communicated to an advertising server to select one or more advertisements related to the request. Thus, as shown in FIG. 3, taking action in operation 315 and selecting advertisements in operation 320 may be related operations (e.g., advertisements may be selected to help in interpreting incomplete and/or ambiguous requests).

Upon taking action in operation 315 (e.g., to service the request) and selecting one or more advertisements in operation 320 (e.g., in relation to the request), an output may be presented to the user in operation 325. The output may indicate a result of the action associated with operation 315. For example, the output may include requested information, an indication of whether a requested task was successfully completed, whether additional information is needed to service the request (e.g., including a prompt for the information), or other information relating to an action based on the request. Furthermore, the output may include advertisements, as selected in operation 320. For example, the output may include text-based, graphic-based, video-based, audio-based, or other types of advertisements, as would be apparent to those skilled in the art. Further, the output may include other types of advertisements, including calls to action (e.g., a location-based coupon or purchase opportunity, trial downloads, or other actionable advertising or marketing).

Advertisements may be selected in relation to a request based on various criteria. For example, an advertisement may be selected based on words or other content of the request, relevant words or content related to the words or content of the request, etc. In another example, the advertisement may be selected based on requested tasks/information (e.g., a request for movie showtimes may result in an advertisement being selected for a particular theater). In yet another example, the advertisement may be selected based on a topic or category associated with the requested tasks/information (e.g., a request to purchase airline tickets may result in an advertisement being selected for a hotel in a destination associated with a reserved flight). In still other examples, the advertisement may be selected based on location information, (e.g., advertisements may be selected based on a proximity to a user geolocation identified using a navigation device), user-specific and/or global user profiles (e.g., advertisements may be selected based on user-specific and/or global preferences, advertiser campaign criteria, etc.).

Content of a voice-based input may be determined based on various criteria, including contextual or conceptual information (e.g., semantic indicators, qualifiers, or other information). For example, a given concept may include various semantically equivalent indicators having an identical meaning. Thus, for instance, a voice-based input may be “Play some tunes!” or “Play some music!” or other variants thereof, each of which may be interpreted as relating to a specific idea (or concept) of “Music.” Thus, concept or content information in a request may be used to select an advertisement. For example, a user may request to calculate a route in Seattle, Washington (e.g., “How do I get to the Space Needle?”). Based on a context of the requested task (e.g., “Navigation,” “Seattle,” etc.), a voice search engine may retrieve an address of the Space Needle and a navigation application may calculate the route. Furthermore, user profile information may indicate that the user is visiting Seattle from out-of-town (e.g., the profile may indicate that the user's home is Sacramento), and therefore, an advertisement for popular points-of-interest in Seattle may be selected. In another example, the user may request information about a sporting event (e.g., “Get me the kickoff time for the Eagles game on Sunday”). Based on a context of the requested information (e.g., “Search,” “Sports,” “Philadelphia,” etc.), the requested information may be retrieved, while an advertisement for Eagles apparel or memorabilia may be selected.

In various instances, concepts, semantic indicators, qualifiers, or other information included in, or inferred from, a request may indicate an exploratory nature for the request. In other words, the exploratory request may identify a goal for a conversation, instead of a particular task to perform or information to retrieve. As such, in various implementations, an advertisement may be selected in operation 320 in an effort to advance the conversation towards the goal. For example, an exploratory request may include a request for a navigation route (e.g., “I feel like going to a museum, find me something interesting”). Based on a context of the requested task (e.g., “Navigation,” “Points of Interest,” etc.), the goal of the conversation may be identified, and the request may be serviced in operation 315 (e.g., a voice search engine may locate nearby points of interest based on user preferred topics). Further, the advertising application may select an appropriate advertisement in operation 320, where the advertisement may be selected in an attempt to advance the conversation towards the goal. For example, statistical profiles (e.g., user profiles, global profiles, topic-based profiles, etc.) may reflect an affinity between an advertisement for a particular museum and other users sharing similar demographics or other characteristics with the requesting user. Thus, in addition to retrieving information about museums in operation 315, an advertisement for a museum likely to be of interest to the user may be selected in operation 320.

In various instances, a request may include incomplete, ambiguous, unrecognized, or otherwise insufficient semantic indicators, context, qualifiers, or other information needed to identify the request. In other words, the request may include inadequate information to identify or infer a task to perform, information to retrieve, or a goal for a conversation. Thus, as much information as possible may be extracted and/or inferred from the request based on shared knowledge such as context, user or global profile information, previous utterances, previous conversations, etc. As such, servicing the request may include generating a response and/or communicating with an advertising application to advance a conversation toward a serviceable request. For example, servicing the request in operation 315 and selecting an advertisement in operation 320 may include generating a response and/or selecting an advertisement to frame a subsequent user input, thereby advancing the conversation.

For example, the request may include incomplete, ambiguous, or unrecognized information (e.g., “Do you know [mumbled words] Seattle?”). A context of the requested task may be identified (e.g., “Seattle”), yet the identified context may be insufficient to adequately take action to service the request. Additional information may be inferred based on previous utterances in the conversation, profile information, or other information. However, when the additional information fails to provide adequate information to infer a reasonable hypothesis, servicing the request in operation 315 may include generating a response to frame a subsequent user input and advance the conversation (e.g., information about various topics may be retrieved based on a user's preferred topics). Further, the advertising application may select an advertisement in operation 320 to advance the conversation (e.g., advertisements may be selected based on user and/or global profiles reflecting an affinity between certain advertisements associated with Seattle and user preferences, profiles, etc.). Thus, by selecting an advertisement, indicating dissatisfaction with an advertisement, or otherwise interacting with an advertisement, the interaction may be used to build context and shared knowledge for a subsequent course of the conversation. For example, a user may select an advertisement, and an interpretation of a subsequent voice-based input (e.g., “Call them,” “What's the price range?” etc.) may be interpreted with shared knowledge of the advertisement that the voice-based input relates to. Thus, advertisements may be used in a way that enables advertisers to market to consumers, while also improving the consumers' interaction with a device. Other advantages will be apparent to those skilled in the art.

It will be apparent that operation 320 may use various techniques to select advertisements based on voice-based inputs and/or requests included therein. For example, an advertiser may specify a target audience, marketing criteria, campaign strategies, budget constraints, concepts, semantic indicators, related topics, categories, and/or any other suitable information to associate with an advertisement. For instance, advertisers may pay a premium to prioritize an advertisement in relation to similar advertisements (e.g., advertisements associated with competitors). In another example, various statistical profiles may define affinities between advertisements, topics, users, etc. (e.g., based on click-through or conversion rates, or other tracking information, as described in more detail below). Thus, advertisements may be selected in operation 320 using various techniques, including content of the request, an activity/action associated with the request, user profiles, user preferences, statistical metrics, advertiser-specified criteria, to advance a conversation, to resolve ambiguous requests, or in various other ways, as will be apparent.

The output presented to the user in operation 325 may be provided to the user in various ways. For example, in various implementations, the output may include a voice-based or otherwise audible response. In another example, when an associated device includes a display mechanism, the output may be displayed on the display device. It will be apparent that many combinations or variants thereof may be used, such as augmenting a voice-based response with information on a display device. For example, a user may request information about restaurants, and an advertisement may be selected based on a user preference indicating a favorite type of restaurant (e.g., a Chinese restaurant may be selected based on a user profile indicating a preference for Chinese). Therefore, in one example, the output presented in operation 325 may display information about various restaurants matching the requested information, while a voice-based advertisement for the Chinese restaurant may be played to the user (e.g., via a speaker or other suitable mechanism for playing voice back to the user). Many other variations will be apparent (e.g., a graphical advertisement may be displayed on a display device, while a corresponding or different voice-based advertisement may be played audibly).

Subsequent interaction between the user and the presented advertisements may be monitored in a decisional operation 330. For instance, when the user elects to interact with the advertisement, action may be taken based on the interaction in an operation 335. The interaction may take various forms, including additional voice-based inputs or other suitable mechanisms for interacting with advertisements (e.g., clicking on an advertisement displayed on a personal digital assistant using an associated stylus). For example, a user may initially request information from a voice-enabled media device (e.g., a satellite radio player) about a song currently playing (e.g., “What is this song?”). In addition to outputting the requested information about the song (e.g., “This song is Double Barrel by Dave and Ansel Collins.”), a selected advertisement may enable the user to purchase a ringtone for a mobile phone that corresponds to the song. In this example, the interaction may include a request to purchase the ringtone (e.g., “Yeah, I'll buy that”), and action taken in operation 335 may include completing a transaction for the ringtone and/or downloading the ringtone to the mobile phone. Furthermore, additional advertisements may be selected in an operation 340 based on the interaction, using similar techniques as described in connection with operation 320 (e.g., advertisements for additional ringtones, similar musicians, etc. may be selected). Processing may subsequently return to operation 325 to present output resulting from the interaction.

User advertisement interaction may be tracked in an operation 345. For example, operation 345 may track historical data about users, conversations, topics, contexts, or other criteria to associate information with the selected advertisement. The tracking information may therefore be used to build statistical profiles defining affinities, click-through or conversion rates, or other information about various advertisements, topics, or other criteria on a user-specific and/or a global-user level. Thus, clusters or mappings may be created between advertisements, topics, concepts, demographics, or other criteria based on user behavior with the advertisements (e.g., whether a user interacts with the advertisement in operation 330).

For instance, certain advertisements may experience high click-through rates in relation to a first context and/or topic, but low click-through rates in relation to a second context and/or topic, and therefore, when requests relate to the first context and/or topic, the advertisement may be more likely to be selected in subsequent operations 320/340. In another example, global statistical profiles may indicate that an advertisement experiences more click-throughs by users of a particular demographic, and therefore, the advertisement may be more likely to be selected for users falling within the demographic. Many different techniques for tracking and building statistical profiles will be apparent.

Implementations of the invention may be made in hardware, firmware, software, or any combination thereof. The invention may also be implemented as instructions stored on a machine-readable medium, which may be read and executed by one or more processors. A machine-readable medium may include any mechanism for storing or transmitting information in a form readable by a machine (e.g., a computing device). For example, a machine-readable storage medium may include read only memory, random access memory, magnetic disk storage media, optical storage media, flash memory devices, and others, and a machine-readable transmission media may include forms of propagated signals, such as carrier waves, infrared signals, digital signals, and others. Further, firmware, software, routines, or instructions may be described in the above disclosure in terms of specific exemplary aspects and implementations of the invention, and performing certain actions. However, it will be apparent that such descriptions are merely for convenience and that such actions in fact result from computing devices, processors, controllers, or other devices executing the firmware, software, routines, or instructions.

Aspects and implementations may be described as including a particular feature, structure, or characteristic, but every aspect or implementation may not necessarily include the particular feature, structure, or characteristic. Further, when a particular feature, structure, or characteristic is described in connection with an aspect or implementation, it will be apparent to effect such feature, structure, or characteristic in connection with other aspects or implementations whether or not explicitly described. Thus, various changes and modifications may be made, without departing from the scope and spirit of the invention. The specification and drawings are to be regarded as exemplary only, and the scope of the invention is to be determined solely by the appended claims.

Patent Citations
Cited PatentFiling datePublication dateApplicantTitle
US4430669May 29, 1981Feb 7, 1984Payview LimitedTransmitting and receiving apparatus for permitting the transmission and reception of multi-tier subscription programs
US5027406Dec 6, 1988Jun 25, 1991Dragon Systems, Inc.Method for interactive speech recognition and training
US5155743Jan 9, 1992Oct 13, 1992Nuance Designworks, Inc.Digital data converter
US5208748Jun 19, 1989May 4, 1993Action Technologies, Inc.Method and apparatus for structuring and managing human communications by explicitly defining the types of communications permitted between participants
US5274560Mar 27, 1991Dec 28, 1993Audio Navigation Systems, Inc.Sensor free vehicle navigation system utilizing a voice input/output interface for routing a driver from his source point to his destination point
US5357596Nov 18, 1992Oct 18, 1994Kabushiki Kaisha ToshibaSpeech dialogue system for facilitating improved human-computer interaction
US5377350Apr 30, 1993Dec 27, 1994International Business Machines CorporationSystem for cooperative communication between local object managers to provide verification for the performance of remote calls by object messages
US5386556Dec 23, 1992Jan 31, 1995International Business Machines CorporationNatural language analyzing apparatus and method
US5424947Jun 12, 1991Jun 13, 1995International Business Machines CorporationNatural language analyzing apparatus and method, and construction of a knowledge base for natural language analysis
US5471318Apr 22, 1993Nov 28, 1995At&T Corp.Multimedia communications network
US5475733Sep 1, 1994Dec 12, 1995At&T Corp.Language accommodated message relaying for hearing impaired callers
US5488652Apr 14, 1994Jan 30, 1996Northern Telecom LimitedMethod and apparatus for training speech recognition algorithms for directory assistance applications
US5499289Dec 6, 1994Mar 12, 1996At&T Corp.Systems, methods and articles of manufacture for performing distributed telecommunications
US5500920Sep 30, 1994Mar 19, 1996Xerox CorporationSemantic co-occurrence filtering for speech recognition and signal transcription applications
US5517560Aug 8, 1995May 14, 1996At&T Corp.Call billing and measurement methods for redirected calls
US5533108Mar 18, 1994Jul 2, 1996At&T Corp.Method and system for routing phone calls based on voice and data transport capability
US5537436Jun 14, 1993Jul 16, 1996At&T Corp.Simultaneous analog and digital communication applications
US5539744Feb 28, 1995Jul 23, 1996At&T Corp.Hand-off management for cellular telephony
US5557667Mar 9, 1995Sep 17, 1996At&TMethod and system for multi-channel data automatic call distribution for sequentially launched calls
US5563937Mar 9, 1995Oct 8, 1996At&TMethod and system for multi-channel data automatic call distribution
US5577165Sep 26, 1994Nov 19, 1996Kabushiki Kaisha ToshibaSpeech dialogue system for facilitating improved human-computer interaction
US5590039Aug 29, 1994Dec 31, 1996Canon Kabushiki KaishaNatural language processing apparatus and method for performing processing to analyze the meaning of an input sentence entered in the form of a natural language
US5617407Sep 20, 1996Apr 1, 1997Bareis; Monica M.Optical disk having speech recognition templates for information access
US5633922Dec 29, 1995May 27, 1997At&TProcess and apparatus for restarting call routing in a telephone network
US5675629Sep 8, 1995Oct 7, 1997At&TCordless cellular system base station
US5696965Nov 3, 1994Dec 9, 1997Intel CorporationElectronic information appraisal agent
US5708422May 31, 1995Jan 13, 1998At&TTransaction authorization and alert system
US5721938Jun 7, 1995Feb 24, 1998Stuckey; Barbara K.Method and device for parsing and analyzing natural language sentences and text
US5722084Aug 20, 1996Feb 24, 1998At&T Corp.Cellular/PCS handset NAM download capability using a wide-area paging system
US5740256Dec 11, 1996Apr 14, 1998U.S. Philips CorporationAdaptive noise cancelling arrangement, a noise reduction system and a transceiver
US5742763Dec 29, 1995Apr 21, 1998At&T Corp.Universal message delivery system for handles identifying network presences
US5748841Apr 10, 1997May 5, 1998Morin; PhilippeSupervised contextual language acquisition system
US5748974Dec 13, 1994May 5, 1998International Business Machines CorporationMultimodal natural language interface for cross-application tasks
US5752052Jun 24, 1994May 12, 1998Microsoft CorporationMethod and system for bootstrapping statistical processing into a rule-based natural language parser
US5754784Aug 15, 1996May 19, 1998At&T CorpMultimedia system
US5761631Jul 12, 1995Jun 2, 1998International Business Machines CorporationParsing method and system for natural language processing
US5774859Jan 3, 1995Jun 30, 1998Scientific-Atlanta, Inc.Information system having a speech interface
US5794050Oct 2, 1997Aug 11, 1998Intelligent Text Processing, Inc.Natural language understanding system
US5794196Jun 24, 1996Aug 11, 1998Kurzweil Applied Intelligence, Inc.Speech recognition system distinguishing dictation from commands by arbitration between continuous speech and isolated word modules
US5797112Sep 21, 1995Aug 18, 1998Nec CorporationNavigation apparatus using a position index and information representative of roads and institutions
US5799276Nov 7, 1995Aug 25, 1998Accent IncorporatedKnowledge-based speech recognition system and methods having frame length computed based upon estimated pitch period of vocalic intervals
US5802510Dec 29, 1995Sep 1, 1998At&T CorpUniversal directory service
US5832221Dec 29, 1995Nov 3, 1998At&T CorpUniversal message storage system
US5839107Nov 29, 1996Nov 17, 1998Northern Telecom LimitedMethod and apparatus for automatically generating a speech recognition vocabulary from a white pages listing
US5867817Aug 19, 1996Feb 2, 1999Virtual Vision, Inc.Speech recognition manager
US5878385Sep 16, 1996Mar 2, 1999Ergo Linguistic TechnologiesMethod and apparatus for universal parsing of language
US5878386Jun 28, 1996Mar 2, 1999Microsoft CorporationNatural language parser with dictionary-based part-of-speech probabilities
US5892813Sep 30, 1996Apr 6, 1999Matsushita Electric Industrial Co., Ltd.Multimodal voice dialing digital key telephone with dialog manager
US5895464Apr 30, 1997Apr 20, 1999Eastman Kodak CompanyComputer program product and a method for using natural language for the description, search and retrieval of multi-media objects
US5895466Aug 19, 1997Apr 20, 1999At&T CorpAutomated natural language understanding customer service system
US5897613Oct 8, 1997Apr 27, 1999Lucent Technologies Inc.Efficient transmission of voice silence intervals
US5902347Mar 27, 1997May 11, 1999American Navigation Systems, Inc.Hand-held GPS-mapping device
US5911120Sep 8, 1995Jun 8, 1999At&T Wireless ServicesWireless communication system having mobile stations establish a communication link through the base station without using a landline or regional cellular network and without a call in progress
US5918222Mar 15, 1996Jun 29, 1999Kabushiki Kaisha ToshibaInformation disclosing apparatus and multi-modal information input/output system
US5926784Jul 17, 1997Jul 20, 1999Microsoft CorporationMethod and system for natural language parsing using podding
US5933822Jul 22, 1997Aug 3, 1999Microsoft CorporationApparatus and methods for an information retrieval system that employs natural language processing of search results to improve overall precision
US5953393Jul 15, 1996Sep 14, 1999At&T Corp.Personal telephone agent
US5960397May 27, 1997Sep 28, 1999At&T CorpSystem and method of recognizing an acoustic environment to adapt a set of based recognition models to the current acoustic environment for subsequent speech recognition
US5960399Dec 24, 1997Sep 28, 1999Gte Internetworking IncorporatedClient/server speech processor/recognizer
US5960447Nov 13, 1995Sep 28, 1999Holt; DouglasWord tagging and editing system for speech recognition
US5963894May 20, 1997Oct 5, 1999Microsoft CorporationMethod and system for bootstrapping statistical processing into a rule-based natural language parser
US5963940Aug 14, 1996Oct 5, 1999Syracuse UniversityNatural language information retrieval system and method
US5987404Jan 29, 1996Nov 16, 1999International Business Machines CorporationStatistical natural language understanding using hidden clumpings
US5991721May 29, 1996Nov 23, 1999Sony CorporationApparatus and method for processing natural language and apparatus and method for speech recognition
US5995119Jun 6, 1997Nov 30, 1999At&T Corp.Method for generating photo-realistic animated characters
US5995928Oct 2, 1996Nov 30, 1999Speechworks International, Inc.Method and apparatus for continuous spelling speech recognition with early identification
US6009382Sep 30, 1996Dec 28, 1999International Business Machines CorporationWord storage table for natural language determination
US6014559Apr 10, 1997Jan 11, 2000At&T Wireless Services, Inc.Method and system for delivering a voice mail notification to a private base station using cellular phone network
US6018708Aug 26, 1997Jan 25, 2000Nortel Networks CorporationMethod and apparatus for performing speech recognition utilizing a supplementary lexicon of frequently used orthographies
US6021384Oct 29, 1997Feb 1, 2000At&T Corp.Automatic generation of superwords
US6035267Sep 26, 1996Mar 7, 2000Mitsubishi Denki Kabushiki KaishaInteractive processing apparatus having natural language interfacing capability, utilizing goal frames, and judging action feasibility
US6044347Aug 5, 1997Mar 28, 2000Lucent Technologies Inc.Methods and apparatus object-oriented rule-based dialogue management
US6049602Sep 18, 1997Apr 11, 2000At&T CorpVirtual call center
US6049607Sep 18, 1998Apr 11, 2000Lamar Signal ProcessingInterference canceling method and apparatus
US6058187Apr 17, 1997May 2, 2000At&T Corp.Secure telecommunications data transmission
US6067513Oct 22, 1998May 23, 2000Pioneer Electronic CorporationSpeech recognition method and speech recognition apparatus
US6078886Apr 14, 1997Jun 20, 2000At&T CorporationSystem and method for providing remote automatic speech recognition services via a packet network
US6081774Aug 22, 1997Jun 27, 2000Novell, Inc.Natural language information retrieval system and method
US6085186Sep 19, 1997Jul 4, 2000Netbot, Inc.Method and system using information written in a wrapper description language to execute query on a network
US6101241Jul 16, 1997Aug 8, 2000At&T Corp.Telephone-based speech recognition for data collection
US6108631Sep 18, 1998Aug 22, 2000U.S. Philips CorporationInput system for at least location and/or street names
US6119087Mar 13, 1998Sep 12, 2000Nuance CommunicationsSystem architecture for and method of voice processing
US6134235Oct 8, 1997Oct 17, 2000At&T Corp.Pots/packet bridge
US6144667Aug 7, 1997Nov 7, 2000At&T Corp.Network-based method and apparatus for initiating and completing a telephone call via the internet
US6144938May 1, 1998Nov 7, 2000Sun Microsystems, Inc.Voice user interface with personality
US6154526Dec 3, 1997Nov 28, 2000Intellivoice Communications, Inc.Data acquisition and error correcting speech recognition system
US6160883Mar 4, 1998Dec 12, 2000At&T CorporationTelecommunications network system and method
US6167377Mar 28, 1997Dec 26, 2000Dragon Systems, Inc.Speech recognition language models
US6173266May 6, 1998Jan 9, 2001Speechworks International, Inc.System and method for developing interactive speech applications
US6173279Apr 9, 1998Jan 9, 2001At&T Corp.Method of using a natural language interface to retrieve information from one or more data resources
US6175858Jul 13, 1998Jan 16, 2001At&T Corp.Intelligent network messaging agent and method
US6185535Oct 16, 1998Feb 6, 2001Telefonaktiebolaget Lm Ericsson (Publ)Voice control of a user interface to service applications
US6188982Dec 1, 1997Feb 13, 2001Industrial Technology Research InstituteOn-line background noise adaptation of parallel model combination HMM with discriminative learning using weighted HMM for noisy speech recognition
US6192110Oct 3, 1997Feb 20, 2001At&T Corp.Method and apparatus for generating sematically consistent inputs to a dialog manager
US6192338Jun 17, 1999Feb 20, 2001At&T Corp.Natural language knowledge servers as network resources
US6195634Dec 24, 1997Feb 27, 2001Nortel Networks CorporationSelection of decoys for non-vocabulary utterances rejection
US6195651Nov 19, 1998Feb 27, 2001Andersen Consulting Properties BvSystem, method and article of manufacture for a tuned user application experience
US6208964Aug 31, 1998Mar 27, 2001Nortel Networks LimitedMethod and apparatus for providing unsupervised adaptation of transcriptions
US6208972Dec 23, 1998Mar 27, 2001Richard GrantMethod for integrating computer processes with an interface controlled by voice actuated grammars
US6219346Dec 2, 1997Apr 17, 2001At&T Corp.Packet switching architecture in cellular radio
US6219643Jun 26, 1998Apr 17, 2001Nuance Communications, Inc.Method of analyzing dialogs in a natural language speech recognition system
US6226612Jan 30, 1998May 1, 2001Motorola, Inc.Method of evaluating an utterance in a speech recognition system
US6233556Dec 16, 1998May 15, 2001Nuance CommunicationsVoice processing and verification system
US6233559Apr 1, 1998May 15, 2001Motorola, Inc.Speech control of multiple applications using applets
US6233561Apr 12, 1999May 15, 2001Matsushita Electric Industrial Co., Ltd.Method for goal-oriented speech translation in hand-held devices using meaning extraction and dialogue
US6246981Nov 25, 1998Jun 12, 2001International Business Machines CorporationNatural language task-oriented dialog manager and method
US6266636Mar 11, 1998Jul 24, 2001Canon Kabushiki KaishaSingle distribution and mixed distribution model conversion in speech recognition method, apparatus, and computer readable medium
US6269336Oct 2, 1998Jul 31, 2001Motorola, Inc.Voice browser for interactive services and methods thereof
US6272455Oct 22, 1997Aug 7, 2001Lucent Technologies, Inc.Method and apparatus for understanding natural language
US6275231Aug 1, 1997Aug 14, 2001American Calcar Inc.Centralized control and management system for automobiles
US6278968Jan 29, 1999Aug 21, 2001Sony CorporationMethod and apparatus for adaptive speech recognition hypothesis construction and selection in a spoken language translation system
US6288319Dec 2, 1999Sep 11, 2001Gary CatonaElectronic greeting card with a custom audio mix
US6292767Dec 21, 1995Sep 18, 2001Nuance CommunicationsMethod and system for building and running natural language understanding systems
US6308151May 14, 1999Oct 23, 2001International Business Machines Corp.Method and system using a speech recognition system to dictate a body of text in response to an available body of text
US6314402Apr 23, 1999Nov 6, 2001Nuance CommunicationsMethod and apparatus for creating modifiable and combinable speech objects for acquiring information from a speaker in an interactive voice response system
US6362748Sep 27, 2000Mar 26, 2002Lite Vision CorporationSystem for communicating among vehicles and a communication system control center
US6366882Mar 27, 1998Apr 2, 2002Speech Machines, PlcApparatus for converting speech to text
US6366886Mar 24, 2000Apr 2, 2002At&T Corp.System and method for providing remote automatic speech recognition services via a packet network
US6374214Jun 24, 1999Apr 16, 2002International Business Machines Corp.Method and apparatus for excluding text phrases during re-dictation in a speech recognition system
US6377913Aug 13, 1999Apr 23, 2002International Business Machines CorporationMethod and system for multi-client access to a dialog system
US6381535Mar 20, 1998Apr 30, 2002Webraska Mobile TechnologiesInteractive process for use as a navigational aid and device for its implementation
US6385596Feb 6, 1998May 7, 2002Liquid Audio, Inc.Secure online music distribution system
US6385646Aug 23, 1996May 7, 2002At&T Corp.Method and system for establishing voice communications in an internet environment
US6393428Jul 13, 1998May 21, 2002Microsoft CorporationNatural language information retrieval system
US6397181Jan 27, 1999May 28, 2002Kent Ridge Digital LabsMethod and apparatus for voice annotation and retrieval of multimedia data
US6404878Sep 29, 2000Jun 11, 2002At&T Corp.Telecommunications network system and method
US6405170Sep 22, 1998Jun 11, 2002Speechworks International, Inc.Method and system of reviewing the behavior of an interactive speech recognition application
US6408272Apr 12, 1999Jun 18, 2002General Magic, Inc.Distributed voice user interface
US6411810Jun 4, 1999Jun 25, 2002At&T Corp.Overload control in a packet-switching cellular environment
US6415257Aug 26, 1999Jul 2, 2002Matsushita Electric Industrial Co., Ltd.System for identifying and adapting a TV-user profile by means of speech technology
US6418210Nov 29, 1999Jul 9, 2002At&T CorpMethod and apparatus for providing information between a calling network and a called network
US6420975Dec 17, 1999Jul 16, 2002Donnelly CorporationInterior rearview mirror sound processing system
US6429813Jan 14, 1999Aug 6, 2002Navigation Technologies Corp.Method and system for providing end-user preferences with a navigation system
US6430285Dec 15, 1998Aug 6, 2002At&T Corp.Method and apparatus for an automated caller interaction system
US6430531Feb 1, 2000Aug 6, 2002Soliloquy, Inc.Bilateral speech system
US6434523Apr 23, 1999Aug 13, 2002Nuance CommunicationsCreating and editing grammars for speech recognition graphically
US6434524Oct 5, 1999Aug 13, 2002One Voice Technologies, Inc.Object interactive user interface using speech recognition and natural language processing
US6442522Oct 12, 1999Aug 27, 2002International Business Machines CorporationBi-directional natural language system for interfacing with multiple back-end applications
US6446114Oct 2, 2000Sep 3, 2002At&T Corp.Messaging agent and method for retrieving and consolidating messages
US6453153May 11, 2000Sep 17, 2002At&T Corp.Employing customer premises equipment in communications network maintenance
US6453292Oct 28, 1998Sep 17, 2002International Business Machines CorporationCommand boundary identifier for conversational natural language
US6456711Dec 12, 2000Sep 24, 2002At&T Corp.Method for placing a call intended for an enhanced network user on hold while the enhanced network user is unavailable to take the call using a distributed feature architecture
US6466654Mar 6, 2000Oct 15, 2002Avaya Technology Corp.Personal virtual assistant with semantic tagging
US6466899Mar 14, 2000Oct 15, 2002Kabushiki Kaisha ToshibaNatural language dialogue apparatus and method
US6470315Sep 11, 1996Oct 22, 2002Texas Instruments IncorporatedEnrollment and modeling method and apparatus for robust speaker dependent speech models
US6498797Nov 12, 1998Dec 24, 2002At&T Corp.Method and apparatus for communication services on a network
US6499013Sep 9, 1998Dec 24, 2002One Voice Technologies, Inc.Interactive user interface using speech recognition and natural language processing
US6501833Oct 3, 1997Dec 31, 2002Speechworks International, Inc.Method and apparatus for dynamic adaptation of a large vocabulary speech recognition system and for use of constraints from a database in a large vocabulary speech recognition system
US6501834Nov 21, 2001Dec 31, 2002At&T Corp.Message sender status monitor
US6510417Mar 21, 2000Jan 21, 2003America Online, Inc.System and method for voice access to internet-based information
US6513006Jun 6, 2001Jan 28, 2003Matsushita Electronic Industrial Co., Ltd.Automatic control of household activity using speech recognition and natural language
US6522746Nov 3, 2000Feb 18, 2003Tellabs Operations, Inc.Synchronization of voice boundaries and their use by echo cancellers in a voice processing system
US6523061Jun 30, 2000Feb 18, 2003Sri International, Inc.System, method, and article of manufacture for agent-based navigation in a speech-based data navigation system
US6532444Oct 5, 1998Mar 11, 2003One Voice Technologies, Inc.Network interactive user interface using speech recognition and natural language processing
US6539348Aug 24, 1999Mar 25, 2003Virtual Research Associates, Inc.Systems and methods for parsing a natural language sentence
US6549629Feb 21, 2001Apr 15, 2003Digisonix LlcDVE system with normalized selection
US6553372Feb 26, 1999Apr 22, 2003Microsoft CorporationNatural language information retrieval system
US6556970Jan 24, 2000Apr 29, 2003Denso CorporationApparatus for determining appropriate series of words carrying information to be recognized
US6556973Apr 19, 2000Apr 29, 2003Voxi AbConversion between data representation formats
US6560576Apr 25, 2000May 6, 2003Nuance CommunicationsMethod and apparatus for providing active help to a user of a voice-enabled application
US6567778Jun 23, 1999May 20, 2003Nuance CommunicationsNatural language speech recognition using slot semantic confidence scores related to their word recognition confidence scores
US6567797Oct 19, 1999May 20, 2003Xerox CorporationSystem and method for providing recommendations based on multi-modal user clusters
US6570555Dec 30, 1998May 27, 2003Fuji Xerox Co., Ltd.Method and apparatus for embodied conversational characters with multimodal input/output in an interface device
US6570964Apr 16, 1999May 27, 2003Nuance CommunicationsTechnique for recognizing telephone numbers and other spoken information embedded in voice messages stored in a voice messaging system
US6574597Feb 11, 2000Jun 3, 2003At&T Corp.Fully expanded context-dependent networks for speech recognition
US6574624Aug 18, 2000Jun 3, 2003International Business Machines CorporationAutomatic topic identification and switch for natural language search of textual document collections
US6581103Oct 22, 1999Jun 17, 2003Dedicated Radio, LlcMethod for internet radio broadcasting including listener requests of audio and/or video files with input dedications
US6587858Sep 30, 1999Jul 1, 2003Steven Paul StrazzaSystems and methods for the control of dynamic data and request criteria in a data repository
US6591239Dec 9, 1999Jul 8, 2003Steris Inc.Voice controlled surgical suite
US6594257Sep 7, 2000Jul 15, 2003At&T Corp.Network-based method and apparatus for initiating and completing a telephone call via the internet
US6594367Oct 25, 1999Jul 15, 2003Andrea Electronics CorporationSuper directional beamforming design and implementation
US6598018Dec 15, 1999Jul 22, 2003Matsushita Electric Industrial Co., Ltd.Method for natural dialog interface to car devices
US6604075Mar 14, 2000Aug 5, 2003Lucent Technologies Inc.Web-based voice dialog interface
US6604077Feb 5, 2002Aug 5, 2003At&T Corp.System and method for providing remote automatic speech recognition and text to speech services via a packet network
US6606598Sep 21, 1999Aug 12, 2003Speechworks International, Inc.Statistical computing and reporting for interactive speech applications
US6611692Sep 4, 2002Aug 26, 2003At&T Wireless Services, Inc.Cordless cellular system
US6614773Dec 2, 1997Sep 2, 2003At&T Corp.Packet transmissions over cellular radio
US6615172Nov 12, 1999Sep 2, 2003Phoenix Solutions, Inc.Intelligent query engine for processing voice based queries
US6622119Oct 30, 1999Sep 16, 2003International Business Machines CorporationAdaptive command predictor and method for a natural language dialog system
US6629066Sep 7, 1999Sep 30, 2003Nuance CommunicationsMethod and system for building and running natural language understanding systems
US6631346Apr 7, 1999Oct 7, 2003Matsushita Electric Industrial Co., Ltd.Method and apparatus for natural language parsing using multiple passes and tags
US6633846Nov 12, 1999Oct 14, 2003Phoenix Solutions, Inc.Distributed realtime speech recognition system
US6643620Mar 15, 1999Nov 4, 2003Matsushita Electric Industrial Co., Ltd.Voice activated controller for recording and retrieving audio/video programs
US6650747Jan 27, 2000Nov 18, 2003At&T Corp.Control of merchant application by system monitor in virtual contact center
US6658388Sep 10, 1999Dec 2, 2003International Business Machines CorporationPersonality generator for conversational systems
US6678680Jan 6, 2000Jan 13, 2004Mark WooMusic search engine
US6681206Oct 18, 2000Jan 20, 2004At&T CorporationMethod for generating morphemes
US6691151Nov 15, 1999Feb 10, 2004Sri InternationalUnified messaging methods and systems for communication and cooperation among distributed agents in a computing environment
US6701294Jan 19, 2000Mar 2, 2004Lucent Technologies, Inc.User interface for translating natural language inquiries into database queries and data presentations
US6704708Apr 20, 2000Mar 9, 2004International Business Machines CorporationInteractive voice response system
US6708150Sep 11, 2000Mar 16, 2004Zanavi Informatics CorporationSpeech recognition apparatus and speech recognition navigation apparatus
US6721001Dec 16, 1998Apr 13, 2004International Business Machines CorporationDigital camera with voice recognition annotation
US6721706Oct 30, 2000Apr 13, 2004Koninklijke Philips Electronics N.V.Environment-responsive user interface/entertainment device that simulates personal interaction
US6735592Nov 16, 2000May 11, 2004Discern CommunicationsSystem, method, and computer program product for a network-based content exchange system
US6741931Sep 5, 2002May 25, 2004Daimlerchrysler CorporationVehicle navigation system with off-board server
US6742021Mar 13, 2000May 25, 2004Sri International, Inc.Navigating network-based electronic information using spoken input with multimodal error feedback
US6751591Jan 22, 2001Jun 15, 2004At&T Corp.Method and system for predicting understanding errors in a task classification system
US6751612Nov 29, 1999Jun 15, 2004Xerox CorporationUser query generate search results that rank set of servers where ranking is based on comparing content on each server with user query, frequency at which content on each server is altered using web crawler in a search engine
US6754485Dec 6, 1999Jun 22, 2004American Calcar Inc.Technique for effectively providing maintenance and information to vehicles
US6757718Jun 30, 2000Jun 29, 2004Sri InternationalMobile navigation of network-based electronic information using spoken input
US6795808Oct 30, 2000Sep 21, 2004Koninklijke Philips Electronics N.V.User interface/entertainment device that simulates personal interaction and charges external database with relevant data
US6801604Jun 25, 2002Oct 5, 2004International Business Machines CorporationUniversal IP-based and scalable architectures across conversational applications using web services for speech and audio processing resources
US6801893Jun 22, 2000Oct 5, 2004International Business Machines CorporationMethod and apparatus for expanding the vocabulary of a speech system
US6829603Feb 2, 2000Dec 7, 2004International Business Machines Corp.System, method and program product for interactive natural dialog
US6832230Dec 22, 1999Dec 14, 2004Nokia CorporationApparatus and associated method for downloading an application with a variable lifetime to a mobile terminal
US6833848Jun 5, 2000Dec 21, 2004Ricoh Co., Ltd.Game console based digital photo album
US6856990Apr 9, 2001Feb 15, 2005Intel CorporationNetwork dedication system
US6865481May 14, 2003Mar 8, 2005Pioneer CorporationNavigation apparatus and interactive information providing program
US6868380Mar 23, 2001Mar 15, 2005Eliza CorporationSpeech recognition system and method for generating phonotic estimates
US6877134Jul 29, 1999Apr 5, 2005Virage, Inc.Integrated data and real-time metadata capture system and method
US6901366Aug 26, 1999May 31, 2005Matsushita Electric Industrial Co., Ltd.System and method for assessing TV-related information over the internet
US6910003Jul 10, 2000Jun 21, 2005Discern Communications, Inc.System, method and article of manufacture for concept based information searching
US6912498May 2, 2001Jun 28, 2005Scansoft, Inc.Error correction in speech recognition by correcting text around selected area
US6934756Mar 21, 2002Aug 23, 2005International Business Machines CorporationConversational networking via transport, coding and control conversational protocols
US6937977Oct 5, 1999Aug 30, 2005Fastmobile, Inc.Method and apparatus for processing an input speech signal during presentation of an output audio signal
US6944594May 30, 2001Sep 13, 2005Bellsouth Intellectual Property CorporationMulti-context conversational environment system and method
US6950821Mar 26, 2002Sep 27, 2005Sun Microsystems, Inc.System and method for resolving distributed network search queries to information providers
US6954755Apr 10, 2003Oct 11, 2005Richard ReismanTask/domain segmentation in applying feedback to command control
US6959276Sep 27, 2001Oct 25, 2005Microsoft CorporationIncluding the category of environmental noise when processing speech signals
US6968311Jul 30, 2001Nov 22, 2005Siemens Vdo Automotive CorporationUser interface for telematics systems
US6973387Apr 2, 2002Dec 6, 2005Bouygues TelecomNavigation and device for motor vehicle
US6975993May 2, 2000Dec 13, 2005Canon Kabushiki KaishaSystem, a server for a system and a machine for use in a system
US6980092Apr 5, 2001Dec 27, 2005Gentex CorporationVehicle rearview mirror assembly incorporating a communication system
US6983055Dec 5, 2001Jan 3, 2006Gn Resound North America CorporationMethod and apparatus for an adaptive binaural beamforming system
US6990513Jun 22, 2001Jan 24, 2006Microsoft CorporationDistributed computing services platform
US6996531Mar 30, 2001Feb 7, 2006Comverse Ltd.Automated database assistance using a telephone for a speech based or text based multimedia communication mode
US7003463Oct 1, 1999Feb 21, 2006International Business Machines CorporationSystem and method for providing network coordinated conversational services
US7016849Mar 25, 2002Mar 21, 2006Sri InternationalMethod and apparatus for providing speech-driven routing between spoken language applications
US7020609Mar 16, 2001Mar 28, 2006Texas Instruments IncorporatedVoice activated apparatus for accessing information on the World Wide Web
US7024364Mar 9, 2001Apr 4, 2006Bevocal, Inc.System, method and computer program product for looking up business addresses and directions based on a voice dial-up session
US7027975Aug 8, 2000Apr 11, 2006Object Services And Consulting, Inc.Guided natural language interface system and method
US7035415May 15, 2001Apr 25, 2006Koninklijke Philips Electronics N.V.Method and device for acoustic echo cancellation combined with adaptive beamforming
US7043425Mar 24, 2005May 9, 2006Sony CorporationModel adaptive apparatus and model adaptive method, recording medium, and pattern recognition apparatus
US7054817Jan 25, 2002May 30, 2006Canon Europa N.V.User interface for speech model generation and testing
US7058890Apr 23, 2002Jun 6, 2006Siebel Systems, Inc.Method and system for enabling connectivity to a data system
US7062488Aug 30, 2000Jun 13, 2006Richard ReismanTask/domain segmentation in applying feedback to command control
US7069220Aug 13, 1999Jun 27, 2006International Business Machines CorporationMethod for determining and maintaining dialog focus in a conversational speech system
US7072834Apr 5, 2002Jul 4, 2006Intel CorporationAdapting to adverse acoustic environment in speech processing using playback training data
US7082469Jun 7, 2001Jul 25, 2006Gold Mustache Publishing, Inc.Method and system for electronic song dedication
US7092928Jul 31, 2001Aug 15, 2006Quantum Leap Research, Inc.Intelligent portal engine
US7107210May 20, 2002Sep 12, 2006Microsoft CorporationMethod of noise reduction based on dynamic aspects of speech
US7110951Mar 3, 2000Sep 19, 2006Dorothy Lemelson, legal representativeSystem and method for enhancing speech intelligibility for the hearing impaired
US7127400May 22, 2002Oct 24, 2006Bellsouth Intellectual Property CorporationMethods and systems for personal interactive voice response
US7136875Feb 26, 2003Nov 14, 2006Google, Inc.Serving advertisements based on content
US7137126Oct 1, 1999Nov 14, 2006International Business Machines CorporationConversational computing via conversational virtual machine
US7143037Jun 12, 2002Nov 28, 2006Cisco Technology, Inc.Spelling words using an arbitrary phonetic alphabet
US7146319Mar 31, 2003Dec 5, 2006Novauris Technologies Ltd.Phonetically based speech recognition system and method
US7165028Sep 20, 2002Jan 16, 2007Texas Instruments IncorporatedMethod of speech recognition resistant to convolutive distortion and additive distortion
US7197069Oct 8, 2003Mar 27, 2007Broadcom CorporationMulti-pair gigabit ethernet transceiver having adaptive disabling of circuit elements
US7203644Dec 31, 2001Apr 10, 2007Intel CorporationAutomating tuning of speech recognition systems
US7206418Feb 12, 2002Apr 17, 2007Fortemedia, Inc.Noise suppression for a wireless communication device
US7228276Apr 1, 2002Jun 5, 2007Sony CorporationSound processing registering a word in a dictionary
US7231343Dec 20, 2002Jun 12, 2007Ianywhere Solutions, Inc.Synonyms mechanism for natural language systems
US7236923Aug 7, 2002Jun 26, 2007Itt Manufacturing Enterprises, Inc.Acronym extraction system and method of identifying acronyms and extracting corresponding expansions from text
US7277854Jan 7, 2005Oct 2, 2007Phoenix Solutions, IncSpeech recognition system interactive agent
US7289606Apr 10, 2002Oct 30, 2007Sandeep SibalMode-swapping in multi-modal telephonic applications
US7301093Feb 26, 2003Nov 27, 2007Neil D. SaterSystem and method that facilitates customizing media
US7305381Oct 29, 2001Dec 4, 2007Ricoh Co., LtdAsynchronous unconscious retrieval in a network of information appliances
US7337116Nov 5, 2001Feb 26, 2008Canon Kabushiki KaishaSpeech processing system
US7340040Dec 7, 1999Mar 4, 2008Microstrategy, IncorporatedSystem and method for real-time, personalized, dynamic, interactive voice services for corporate-analysis related information
US7366669Mar 8, 2004Apr 29, 2008Seiko Epson CorporationAcoustic model creation method as well as acoustic model creation apparatus and speech recognition apparatus
US7376645Jan 24, 2005May 20, 2008The Intellection Group, Inc.Multimodal natural language query system and architecture for processing voice and proximity-based queries
US7386443Jan 9, 2004Jun 10, 2008At&T Corp.System and method for mobile automatic speech recognition
US7398209Jun 3, 2003Jul 8, 2008Voicebox Technologies, Inc.Systems and methods for responding to natural language speech utterance
US7406421Feb 14, 2002Jul 29, 2008Intellisist Inc.Systems and methods for reviewing informational content in a vehicle
US7415414Mar 23, 2004Aug 19, 2008Fuji Xerox Co., Ltd.Systems and methods for determining and using interaction models
US7424431Nov 16, 2005Sep 9, 2008Stragent, LlcSystem, method and computer program product for adding voice activation and voice control to a media player
US7447635Oct 19, 2000Nov 4, 2008Sony CorporationNatural language interface control system
US7461059Jun 23, 2005Dec 2, 2008Microsoft CorporationDynamically updated search results based upon continuously-evolving search query that is based at least in part upon phrase suggestion, search engine uses previous result sets performing additional search tasks
US7472020Aug 4, 2005Dec 30, 2008Harman Becker Automotive Systems GmbhNavigation system with voice controlled presentation of secondary information
US7472060Sep 6, 2005Dec 30, 2008At&T Corp.Automated dialog system and method
US7478036Aug 30, 2001Jan 13, 2009International Business Machines CorporationMethod and system for automatically extracting new word
US7487088May 12, 2006Feb 3, 2009At&T Intellectual Property Ii, L.P.Method and system for predicting understanding errors in a task classification system
US7493259Jan 4, 2002Feb 17, 2009Siebel Systems, Inc.Method for accessing data via voice
US7493559Jan 9, 2002Feb 17, 2009Ricoh Co., Ltd.System and method for direct multi-modal annotation of objects
US7502738May 11, 2007Mar 10, 2009Voicebox Technologies, Inc.Systems and methods for responding to natural language speech utterance
US7516076Mar 11, 2002Apr 7, 2009At&T Intellectual Property Ii, L.P.Automated sentence planning in a task classification system
US7536297Jan 22, 2002May 19, 2009International Business Machines CorporationSystem and method for hybrid text mining for finding abbreviations and their definitions
US7536374Aug 15, 2006May 19, 2009Qps Tech. Limited Liability CompanyMethod and system for using voice input for performing device functions
US7558730Jul 3, 2007Jul 7, 2009Advanced Voice Recognition Systems, Inc.Speech recognition and transcription among users having heterogeneous protocols
US7574362Mar 11, 2002Aug 11, 2009At&T Intellectual Property Ii, L.P.Method for automated sentence planning in a task classification system
US7606708Feb 1, 2006Oct 20, 2009Samsung Electronics Co., Ltd.Apparatus, method, and medium for generating grammar network for use in speech recognition and dialogue speech recognition
US7620549Aug 10, 2005Nov 17, 2009Voicebox Technologies, Inc.System and method of supporting adaptive misrecognition in conversational speech
US7634409Aug 31, 2006Dec 15, 2009Voicebox Technologies, Inc.Dynamic speech sharpening
US7640160Aug 5, 2005Dec 29, 2009Voicebox Technologies, Inc.Systems and methods for responding to natural language speech utterance
US7676365Apr 20, 2005Mar 9, 2010Microsoft CorporationMethod and apparatus for constructing and using syllable-like unit language models
US7676369Nov 19, 2004Mar 9, 2010Universal Entertainment CorporationConversation control apparatus, conversation control method, and programs therefor
US7693720Jul 15, 2003Apr 6, 2010Voicebox Technologies, Inc.Mobile systems and methods for responding to natural language speech utterance
US7729918Mar 11, 2002Jun 1, 2010At&T Intellectual Property Ii, LpTrainable sentence planning system
US7788084Sep 19, 2006Aug 31, 2010Xerox CorporationLabeling of work of art titles in text for natural language processing
US7809570Jul 7, 2008Oct 5, 2010Voicebox Technologies, Inc.Systems and methods for responding to natural language speech utterance
US7818176Feb 6, 2007Oct 19, 2010Voicebox Technologies, Inc.System and method for selecting and presenting advertisements based on natural language processing of voice-based input
US7831433Feb 9, 2007Nov 9, 2010Hrl Laboratories, LlcSystem and method for using context in navigation dialog
US7873523Jun 30, 2005Jan 18, 2011Microsoft CorporationComputer implemented method of analyzing recognition results between a user and an interactive application utilizing inferred values instead of transcribed speech
US7902969Aug 10, 2007Mar 8, 2011American Calcar, Inc.Technique for operating a vehicle effectively and safely
US7917367Nov 12, 2009Mar 29, 2011Voicebox Technologies, Inc.Systems and methods for responding to natural language speech utterance
US7949529Aug 29, 2005May 24, 2011Voicebox Technologies, Inc.Mobile systems and methods of supporting natural language human-machine interactions
US7949537Jul 10, 2009May 24, 2011At&T Intellectual Property Ii, L.P.Method for automated sentence planning in a task classification system
US7983917Oct 29, 2009Jul 19, 2011Voicebox Technologies, Inc.Dynamic speech sharpening
US8015006May 30, 2008Sep 6, 2011Voicebox Technologies, Inc.Systems and methods for processing natural language speech utterances with context-specific domain agents
US8069046Oct 29, 2009Nov 29, 2011Voicebox Technologies, Inc.Dynamic speech sharpening
US8073681Oct 16, 2006Dec 6, 2011Voicebox Technologies, Inc.System and method for a cooperative conversational voice user interface
US8086463Sep 12, 2006Dec 27, 2011Nuance Communications, Inc.Dynamically generating a vocal help prompt in a multimodal application
US20010041980Jun 6, 2001Nov 15, 2001Howard John Howard K.Automatic control of household activity using speech recognition and natural language
US20010049601Mar 23, 2001Dec 6, 2001John KroekerPhonetic data processing system and method
US20020015500May 15, 2001Feb 7, 2002Belt Harm Jan WillemMethod and device for acoustic echo cancellation combined with adaptive beamforming
US20020022927Aug 2, 2001Feb 21, 2002Lemelson Jerome H.GPS vehicle collision avoidance warning and control system and method
US20020035501Nov 19, 1998Mar 21, 2002Sean HandelA personalized product report
US20020049805Mar 30, 2001Apr 25, 2002Sanyo Electric Co., Ltd.User support apparatus and system using agents
US20020065568Nov 30, 2000May 30, 2002Silfvast Robert DentonPlug-in modules for digital signal processor functionalities
US20020069059Dec 4, 2000Jun 6, 2002Kenneth SmithGrammar generation for voice-based searches
US20020082911Dec 22, 2000Jun 27, 2002Dunn Charles L.Online revenue sharing
US20020087525Apr 2, 2001Jul 4, 2002Abbott Kenneth H.Soliciting information based on a computer user's context
US20020120609Oct 22, 2001Aug 29, 2002Lang Andrew K.Collaborative/adaptive search engine
US20020124050Feb 7, 2002Sep 5, 2002Jakobus MiddeljansArrangement for distributing content, profiling center, receiving device and method
US20020138248Jan 26, 2001Sep 26, 2002Corston-Oliver Simon H.Lingustically intelligent text compression
US20020143535Mar 28, 2001Oct 3, 2002International Business Machines CorporationMethod of providing concise forms of natural commands
US20020188602May 7, 2001Dec 12, 2002Eastman Kodak CompanyMethod for associating semantic information with multiple images in an image database environment
US20020198714Jun 26, 2001Dec 26, 2002Guojun ZhouStatistical spoken dialog system
US20030014261Jun 20, 2002Jan 16, 2003Hiroaki KageyamaInformation input method and apparatus
US20030016835Oct 30, 2001Jan 23, 2003Elko Gary W.Adaptive close-talking differential microphone array
US20030046346Jul 1, 2002Mar 6, 2003Kirusa, Inc.Synchronization among plural browsers
US20030064709Oct 3, 2002Apr 3, 2003Gailey Michael L.Multi-modal messaging
US20030088421Jun 25, 2002May 8, 2003International Business Machines CorporationUniversal IP-based and scalable architectures across conversational applications using web services for speech and audio processing resources
US20030097249Mar 11, 2002May 22, 2003Walker Marilyn A.Trainable sentence planning system
US20030110037Mar 11, 2002Jun 12, 2003Walker Marilyn AAutomated sentence planning in a task classification system
US20030112267Dec 6, 2002Jun 19, 2003Hewlett-Packard CompanyMulti-modal picture
US20030115062Mar 11, 2002Jun 19, 2003Walker Marilyn A.Method for automated sentence planning
US20030120493Dec 21, 2001Jun 26, 2003Gupta Sunil K.Method and system for updating and customizing recognition vocabulary
US20030135488Jan 11, 2002Jul 17, 2003International Business Machines CorporationSynthesizing information-bearing content from multiple channels
US20030144846Jan 31, 2002Jul 31, 2003Denenberg Lawrence A.Method and system for modifying the behavior of an application based upon the application's grammar
US20030158731Feb 15, 2002Aug 21, 2003Falcon Stephen RussellWord training interface
US20030182132Aug 16, 2001Sep 25, 2003Meinrad NiemoellerVoice-controlled arrangement and method for voice data entry and voice recognition
US20030204492Apr 25, 2002Oct 30, 2003Wolf Peter P.Method and system for retrieving documents with spoken queries
US20030206640May 2, 2002Nov 6, 2003Malvar Henrique S.Microphone array signal enhancement
US20030212550May 10, 2002Nov 13, 2003Ubale Anil W.Method, apparatus, and system for improving speech quality of voice-over-packets (VOP) systems
US20030236664Jun 24, 2002Dec 25, 2003Intel CorporationMulti-pass recognition of spoken dialogue
US20040006475Dec 19, 2002Jan 8, 2004Patrick EhlenSystem and method of context-sensitive help for multi-modal dialog systems
US20040025115Jun 26, 2003Feb 5, 2004AlcatelMethod, terminal, browser application, and mark-up language for multimodal interaction between a user and a terminal
US20040044516Jun 3, 2003Mar 4, 2004Kennewick Robert A.Systems and methods for responding to natural language speech utterance
US20040098245Mar 11, 2002May 20, 2004Walker Marilyn AMethod for automated sentence planning in a task classification system
US20040166832Jan 2, 2004Aug 26, 2004Accenture Global Services GmbhDirectory assistance with multi-modal messaging
US20040167771Feb 17, 2004Aug 26, 2004Lei DuanMethod and system for reducing lexical ambiguity
US20040193408Mar 31, 2003Sep 30, 2004Aurilab, LlcPhonetically based speech recognition system and method
US20040193420Jul 15, 2003Sep 30, 2004Kennewick Robert A.Mobile systems and methods for responding to natural language speech utterance
US20040199375Apr 5, 2004Oct 7, 2004Farzad EhsaniPhrase-based dialogue modeling with particular application to creating a recognition grammar for a voice-controlled user interface
US20040205671Sep 10, 2001Oct 14, 2004Tatsuya SukehiroNatural-language processing system
US20040243417Apr 25, 2002Dec 2, 2004Pitts Ashton F.Natural language processing for a location-based services system
US20050015256May 28, 2004Jan 20, 2005Kargman James B.Method and apparatus for ordering food items, and in particular, pizza
US20050021334Jun 3, 2004Jan 27, 2005Naoto IwahashiInformation-processing apparatus, information-processing method and information-processing program
US20050021826Apr 21, 2004Jan 27, 2005Sunil KumarGateway controller for a multimodal system that provides inter-communication among different data and voice servers through various mobile devices, and interface for that controller
US20050033574Aug 5, 2004Feb 10, 2005Samsung Electronics Co., Ltd.Method and apparatus handling speech recognition errors in spoken dialogue systems
US20050043940Aug 20, 2004Feb 24, 2005Marvin ElderPreparing a data source for a natural language query
US20050114116Oct 11, 2004May 26, 2005Recent Memory IncorporatedDevice and method for selective recall and preservation of events prior to decision to record the events
US20050137850Dec 23, 2003Jun 23, 2005Intel CorporationMethod for automation of programmable interfaces
US20050137877Dec 17, 2003Jun 23, 2005General Motors CorporationMethod and system for enabling a device function of a vehicle
US20050143994Nov 30, 2004Jun 30, 2005International Business Machines CorporationRecognizing speech, and processing data
US20050246174Jun 16, 2005Nov 3, 2005Degolia Richard CMethod and system for presenting dynamic commercial content to clients interacting with a voice extensible markup language system
US20060206310May 15, 2006Sep 14, 2006Damaka, Inc.System and method for natural language processing in a peer-to-peer hybrid communications network
US20070033005Aug 5, 2005Feb 8, 2007Voicebox Technologies, Inc.Systems and methods for responding to natural language speech utterance
US20070033020Jan 23, 2004Feb 8, 2007Kelleher Francois Holly LEstimation of noise in a speech signal
US20070038436Aug 10, 2005Feb 15, 2007Voicebox Technologies, Inc.System and method of supporting adaptive misrecognition in conversational speech
US20070043574Oct 23, 2006Feb 22, 2007Daniel CoffmanConversational computing via conversational virtual machine
US20070050191Aug 29, 2005Mar 1, 2007Voicebox Technologies, Inc.Mobile systems and methods of supporting natural language human-machine interactions
US20070055525Aug 31, 2006Mar 8, 2007Kennewick Robert ADynamic speech sharpening
US20070073544Sep 29, 2005Mar 29, 2007Microsoft CorporationLocalization of prompts
US20070118357Nov 21, 2005May 24, 2007Kas KasraviWord recognition using ontologies
US20070179778Jan 16, 2007Aug 2, 2007Sap AgDynamic Grammar for Voice-Enabled Applications
US20070186165Feb 7, 2007Aug 9, 2007Pudding Ltd.Method And Apparatus For Electronically Providing Advertisements
US20070214182May 15, 2007Sep 13, 2007Outland Research, LlcEstablishment-based media and messaging service
US20070250901Mar 30, 2007Oct 25, 2007Mcintire John PMethod and apparatus for annotating media streams
US20070265850May 11, 2007Nov 15, 2007Kennewick Robert ASystems and methods for responding to natural language speech utterance
US20070299824Jun 27, 2006Dec 27, 2007International Business Machines CorporationHybrid approach for query recommendation in conversation systems
US20080065386Sep 11, 2006Mar 13, 2008Cross Charles WEstablishing a Preferred Mode of Interaction Between a User and a Multimodal Application
US20080091406Oct 16, 2006Apr 17, 2008Voicebox Technologies, Inc.System and method for a cooperative conversational voice user interface
US20080103761Oct 31, 2007May 1, 2008Harry PrintzMethod and Apparatus for Automatically Determining Speaker Characteristics for Speech-Directed Advertising or Other Enhancement of Speech-Controlled Devices or Services
US20080115163Nov 9, 2007May 15, 2008Audiogate Technologies Ltd.System and method for providing advertisement based on speech recognition
US20080133215Oct 29, 2007Jun 5, 2008Yahoo! Inc.Method and system of interpreting and presenting web content using a voice browser
US20080140385Dec 7, 2006Jun 12, 2008Microsoft CorporationUsing automated content analysis for audio/video content consumption
US20080177530Apr 3, 2008Jul 24, 2008International Business Machines CorporationSynchronizing Visual And Speech Events In A Multimodal Application
US20080189110Feb 6, 2007Aug 7, 2008Tom FreemanSystem and method for selecting and presenting advertisements based on natural language processing of voice-based input
US20080235023May 30, 2008Sep 25, 2008Kennewick Robert ASystems and methods for responding to natural language speech utterance
US20080235027Mar 23, 2007Sep 25, 2008Cross Charles WSupporting Multi-Lingual User Interaction With A Multimodal Application
US20080319751Jul 7, 2008Dec 25, 2008Kennewick Robert ASystems and methods for responding to natural language speech utterance
US20090117885Jan 8, 2009May 7, 2009Nuance Communications, Inc.System and method for conducting a search using a wireless mobile device
US20090144271Dec 1, 2008Jun 4, 2009Microsoft CorporationDynamic client interaction for search
US20090150156Dec 11, 2007Jun 11, 2009Kennewick Michael RSystem and method for providing a natural language voice user interface in an integrated voice navigation services environment
US20090171664Feb 4, 2009Jul 2, 2009Kennewick Robert ASystems and methods for responding to natural language speech utterance
US20090216540Feb 20, 2009Aug 27, 2009Ben Franklin Patent Holding, LlcOpen Architecture For A Voice User Interface
US20090271194Jul 5, 2009Oct 29, 2009Davis Michael KSpeech recognition and transcription among users having heterogeneous protocols
US20090299745May 27, 2008Dec 3, 2009Kennewick Robert ASystem and method for an integrated, multi-modal, multi-device natural language voice services environment
US20100023320Jan 28, 2010Voicebox Technologies, Inc.System and method of supporting adaptive misrecognition in conversational speech
US20100049501Oct 29, 2009Feb 25, 2010Voicebox Technologies, Inc.Dynamic speech sharpening
US20100049514Feb 25, 2010Voicebox Technologies, Inc.Dynamic speech sharpening
US20100057443Nov 12, 2009Mar 4, 2010Voicebox Technologies, Inc.Systems and methods for responding to natural language speech utterance
US20100063880Mar 11, 2010Alon AtsmonProviding content responsive to multimedia signals
US20100145700Feb 12, 2010Jun 10, 2010Voicebox Technologies, Inc.Mobile systems and methods for responding to natural language speech utterance
US20100204986Aug 12, 2010Voicebox Technologies, Inc.Systems and methods for responding to natural language speech utterance
US20100204994Apr 22, 2010Aug 12, 2010Voicebox Technologies, Inc.Systems and methods for responding to natural language speech utterance
US20100217604Feb 20, 2009Aug 26, 2010Voicebox Technologies, Inc.System and method for processing multi-modal device interactions in a natural language voice services environment
US20100286985Jul 19, 2010Nov 11, 2010Voicebox Technologies, Inc.Systems and methods for responding to natural language speech utterance
US20110112827May 12, 2011Kennewick Robert ASystem and method for hybrid processing in a natural language voice services environment
US20110112921Nov 10, 2010May 12, 2011Voicebox Technologies, Inc.System and method for providing a natural language content dedication service
US20110131036Jun 2, 2011Voicebox Technologies, Inc.System and method of supporting adaptive misrecognition in conversational speech
US20110131045Jun 2, 2011Voicebox Technologies, Inc.Systems and methods for responding to natural language speech utterance
US20110231182Sep 22, 2011Voicebox Technologies, Inc.Mobile systems and methods of supporting natural language human-machine interactions
US20110231188Sep 22, 2011Voicebox Technologies, Inc.System and method for providing an acoustic grammar to dynamically sharpen speech interpretation
US20120022857Jan 26, 2012Voicebox Technologies, Inc.System and method for a cooperative conversational voice user interface
EP1320043A2Nov 26, 2002Jun 18, 2003Hewlett-Packard CompanyMulti-modal picture
EP1646037B1Sep 23, 2005Mar 26, 2008France TelecomMethod and apparatus for enhancing speech recognition accuracy by using geographic data to filter a set of words
Non-Patent Citations
Reference
1Arrington, Michael, "Google Redefines GPS Navigation Landscape: Google Maps Navigation for Android 2.0", TechCrunch, printed from the Internet <http://www.techcrunch.com/2009/10/28/google-redefines-car-gps-navigation-google-maps- navigation-android/>, Oct. 28, 2009, 4 pages.
2Bazzi, Issam et al., "Heterogeneous Lexical Units for Automatic Speech Recognition: Preliminary Investigations", Processing of the IEEE International Conference on Acoustics, Speech, and Signal Processing, vol. 3, Jun. 5-9, 2000, XP010507574, pp. 1257-1260.
3Belvin, Robert, et al., "Development of the HRL Route Navigation Dialogue System", Proceedings of the First International Conference on Human Language Technology Research, San Diego, 2001, pp. 1-5.
4Chai et al., "Mind: A Semantics-Based Multimodal Interpretation Framework for Conversational System", Proceedings of the International Class Workshop on Natural, Intelligent and Effective Interaction in Multimodal Dialogue Systems, Jun. 2002, pp. 37-46.
5Cheyer et al., "Multimodal Maps: An Agent-Based Approach", International Conference on Cooperative Multimodal Communication (CMC/95), May 24-26, 1995, pp. 111-121.
6El Meliani et al., "A Syllabic-Filler-Based Continuous Speech Recognizer for Unlimited Vocabulary", Canadian Conference on Electrical and Computer Engineering, vol. 2, Sep. 5-8, 1995, pp. 1007-1010.
7Elio et al., "On Abstract Task Models and Conversation Policies" in Workshop on Specifying, and Implementing Conversation Policies, Autonomous Agents'99, Seattle, 1999, 10 pages.
8Kuhn, Thomas, et al., "Hybrid In-Car Speech Recognition for Mobile Multimedia Applications", Vehicular Technology Conference, IEEE, Jul. 1999, pp. 2009-2013.
9Lin, Bor-shen, et al., "A Distributed Architecture for Cooperative Spoken Dialogue Agents with Coherent Dialogue State and History", ASRU'99, 1999, 4 pages.
10Lind, R., et al., "The Network Vehicle-A Glimpse into the Future of Mobile Multi-Media", IEEE Aerosp. Electron. Systems Magazine, vol. 14, No. 9, Sep. 1999, pp. 27-32.
11Lind, R., et al., "The Network Vehicle—A Glimpse into the Future of Mobile Multi-Media", IEEE Aerosp. Electron. Systems Magazine, vol. 14, No. 9, Sep. 1999, pp. 27-32.
12Mao, Mark Z., "Automatic Training Set Segmentation for Multi-Pass Speech Recognition", Department of Electrical Engineering, Stanford University, CA, copyright 2005, IEEE, pp. I-685 to I-688.
13O'Shaughnessy, Douglas, "Interacting with Computers by Voice: Automatic Speech Recognition and Synthesis", Proceedings of the IEEE, vol. 91, No. 9, Sep. 1, 2003, XP011100665, pp. 1272-1305.
14Reuters, "IBM to Enable Honda Drivers to Talk to Cars", Charles Schwab & Co., Inc., Jul. 28, 2002, 1 page.
15Statement in Accordance with the Notice from the European Patent Office dated Oct. 1, 2007 Concerning Business Methods (OJ EPO Nov. 2007, 592-593), XP002456252.
16Turunen, "Adaptive Interaction Methods in Speech User Interfaces", Conference on Human Factors in Computing Systems, Seattle, Washington, 2001, pp. 91-92.
17Vanhoucke, Vincent, "Confidence Scoring and Rejection Using Multi-Pass Speech Recognition", Nuance Communications, Menlo Park, CA, 2005, 4 pages.
18Weng, Fuliang, et al., "Efficient Lattice Representation and Generation", Speech Technology and Research Laboratory, SRI International, Menlo Park, CA, 1998, 4 pages.
19Zhao, Yilin, "Telematics: Safe and Fun Driving", IEEE Intelligent Systems, vol. 17, Issue 1, 2002, pp. 10-14.
Referenced by
Citing PatentFiling datePublication dateApplicantTitle
US8195468Apr 11, 2011Jun 5, 2012Voicebox Technologies, Inc.Mobile systems and methods of supporting natural language human-machine interactions
US8326627Dec 30, 2011Dec 4, 2012Voicebox Technologies, Inc.System and method for dynamically generating a recognition grammar in an integrated voice navigation services environment
US8326634Feb 2, 2011Dec 4, 2012Voicebox Technologies, Inc.Systems and methods for responding to natural language speech utterance
US8326637Dec 4, 2012Voicebox Technologies, Inc.System and method for processing multi-modal device interactions in a natural language voice services environment
US8332224Oct 1, 2009Dec 11, 2012Voicebox Technologies, Inc.System and method of supporting adaptive misrecognition conversational speech
US8370147Dec 30, 2011Feb 5, 2013Voicebox Technologies, Inc.System and method for providing a natural language voice user interface in an integrated voice navigation services environment
US8447607Jun 4, 2012May 21, 2013Voicebox Technologies, Inc.Mobile systems and methods of supporting natural language human-machine interactions
US8452598May 28, 2013Voicebox Technologies, Inc.System and method for providing advertisements in an integrated voice navigation services environment
US8515765Oct 3, 2011Aug 20, 2013Voicebox Technologies, Inc.System and method for a cooperative conversational voice user interface
US8527274Feb 13, 2012Sep 3, 2013Voicebox Technologies, Inc.System and method for delivering targeted advertisements and tracking advertisement interactions in voice recognition contexts
US8589161May 27, 2008Nov 19, 2013Voicebox Technologies, Inc.System and method for an integrated, multi-modal, multi-device natural language voice services environment
US8620659Feb 7, 2011Dec 31, 2013Voicebox Technologies, Inc.System and method of supporting adaptive misrecognition in conversational speech
US8719009Sep 14, 2012May 6, 2014Voicebox Technologies CorporationSystem and method for processing multi-modal device interactions in a natural language voice services environment
US8719026Feb 4, 2013May 6, 2014Voicebox Technologies CorporationSystem and method for providing a natural language voice user interface in an integrated voice navigation services environment
US8731929Feb 4, 2009May 20, 2014Voicebox Technologies CorporationAgent architecture for determining meanings of natural language utterances
US8738380Dec 3, 2012May 27, 2014Voicebox Technologies CorporationSystem and method for processing multi-modal device interactions in a natural language voice services environment
US8849652May 20, 2013Sep 30, 2014Voicebox Technologies CorporationMobile systems and methods of supporting natural language human-machine interactions
US8849670Nov 30, 2012Sep 30, 2014Voicebox Technologies CorporationSystems and methods for responding to natural language speech utterance
US8886536Sep 3, 2013Nov 11, 2014Voicebox Technologies CorporationSystem and method for delivering targeted advertisements and tracking advertisement interactions in voice recognition contexts
US8983839Nov 30, 2012Mar 17, 2015Voicebox Technologies CorporationSystem and method for dynamically generating a recognition grammar in an integrated voice navigation services environment
US9015049Aug 19, 2013Apr 21, 2015Voicebox Technologies CorporationSystem and method for a cooperative conversational voice user interface
US9031845Feb 12, 2010May 12, 2015Nuance Communications, Inc.Mobile systems and methods for responding to natural language speech utterance
US9105266May 15, 2014Aug 11, 2015Voicebox Technologies CorporationSystem and method for processing multi-modal device interactions in a natural language voice services environment
US9171541Feb 9, 2010Oct 27, 2015Voicebox Technologies CorporationSystem and method for hybrid processing in a natural language voice services environment
US20090225685 *May 19, 2009Sep 10, 2009Liang ShenComputer-Implemented Voice Markup Language-Based Server
US20100145700 *Feb 12, 2010Jun 10, 2010Voicebox Technologies, Inc.Mobile systems and methods for responding to natural language speech utterance
US20110131045 *Jun 2, 2011Voicebox Technologies, Inc.Systems and methods for responding to natural language speech utterance
US20110231182 *Sep 22, 2011Voicebox Technologies, Inc.Mobile systems and methods of supporting natural language human-machine interactions
US20120004899 *Jul 4, 2010Jan 5, 2012Taymoor ArshiDynamic ad selection for ad delivery systems
Classifications
U.S. Classification704/257, 704/270, 705/14.4, 704/9
International ClassificationG10L11/00, G10L15/18, G06Q30/00, G06F17/27
Cooperative ClassificationG06Q30/0251, G10L15/18, G10L15/26, G06F17/275, G10L15/265, G06Q30/0241, G06Q30/0242
European ClassificationG10L15/26A, G06Q30/0251, G06Q30/0241
Legal Events
DateCodeEventDescription
Jul 30, 2010ASAssignment
Owner name: VOICEBOX TECHNOLOGIES, INC., WASHINGTON
Free format text: ASSIGNMENT OF ASSIGNORS INTEREST;ASSIGNORS:FREEMAN, TOM;KENNEWICK, MIKE;SIGNING DATES FROM 20070212TO 20070216;REEL/FRAME:024769/0349
Apr 7, 2014ASAssignment
Owner name: VOICEBOX TECHNOLOGIES CORPORATION, WASHINGTON
Free format text: MERGER;ASSIGNOR:VOICEBOX TECHNOLOGIES, INC.;REEL/FRAME:032620/0956
Effective date: 20080915
Sep 9, 2015FPAYFee payment
Year of fee payment: 4